JSON for Workflows

Agno supports using local JSON files as a storage backend for Workflows using the JsonDb class.

Usage

Install the openai and ddgs packages:

uv pip install openai ddgs

json_for_workflows.py

from agno.agent import Agent
from agno.db.json import JsonDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow

# Setup the JSON database
db = JsonDb(db_path="tmp/json_db")

# Define agents
hackernews_agent = Agent(
    name="Hackernews Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[HackerNewsTools()],
    role="Extract key insights and content from Hackernews posts",
)
web_agent = Agent(
    name="Web Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[WebSearchTools()],
    role="Search the web for the latest news and trends",
)

# Define research team for complex analysis
research_team = Team(
    name="Research Team",
    members=[hackernews_agent, web_agent],
    instructions="Research tech topics from Hackernews and the web",
)

content_planner = Agent(
    name="Content Planner",
    model=OpenAIChat(id="gpt-4o"),
    instructions=[
        "Plan a content schedule over 4 weeks for the provided topic and research content",
        "Ensure that I have posts for 3 posts per week",
    ],
)

# Define steps
research_step = Step(
    name="Research Step",
    team=research_team,
)

content_planning_step = Step(
    name="Content Planning Step",
    agent=content_planner,
)

# Create and use workflow
if __name__ == "__main__":
    content_creation_workflow = Workflow(
        name="Content Creation Workflow",
        description="Automated content creation from blog posts to social media",
        db=db,
        steps=[research_step, content_planning_step],
    )
    content_creation_workflow.print_response(
        input="AI trends in 2024",
        markdown=True,
    )

Params

Parameter	Type	Default	Description
id	Optional[str]	-	The ID of the database instance. UUID by default.
db_path	Optional[str]	-	Path to the directory where JSON files will be stored.
session_table	Optional[str]	-	Name of the JSON file to store sessions (without .json extension).
memory_table	Optional[str]	-	Name of the JSON file to store memories.
metrics_table	Optional[str]	-	Name of the JSON file to store metrics.
eval_table	Optional[str]	-	Name of the JSON file to store evaluation runs.
knowledge_table	Optional[str]	-	Name of the JSON file to store knowledge content.
culture_table	Optional[str]	-	Name of the JSON file to store cultural knowledge.
traces_table	Optional[str]	-	Name of the JSON file to store traces.
spans_table	Optional[str]	-	Name of the JSON file to store spans.